A delightful collection of Python recipes using Eden AI services. Because cooking up AI solutions should be as easy (and fun) as following a recipe!
EDENAI-COOKBOOK is a curated set of examples demonstrating how to leverage Eden AI's powerful APIs for:
- 📄 Document Parsing - extract info from PDFs, resumes, etc.
- ⚙️ EdenAI-OpenAI-Adapter - shows openAI compatibility with Eden AI's API.
- 🖼️ Image Analysis - detect fake content, generate embeddings
- 🎙️ Speech - text-to-speech, speech-to-text
- 📝 Text - embeddings, sentiment analysis, summarization
- 🧩 Workflows - Combination of various AI features built on the Eden AI's Workflows platform.
These code snippets serve as "recipes" to jumpstart your own AI projects. Simply grab a script, tweak a few lines, and integrate advanced AI features into your workflow.
EDENAI-COOKBOOK/
├── Custom Prompts/
│ └── custom_prompts.py
├── Document Parser/
│ └── [ financial-parser.py, resume-parser.py]
├── EdenAI-OpenAI-Adapter/
│ └── [ adapter.py, app.py ]
├── Generative/
│ └── [ llm_chat_multimodal.py ]
├── Image/
│ ├── [ background_removal.py, fake_content_detection.py, image_embeddings.py ]
├── RAG/
│ └── rag.py
├── Speech/
│ └── text_to_speech_async.py
├── Text/
│ └── text_embeddings.py
├── Workflows/
│ └── [ OCR_LLM.py, webscraping_LLM.py ]
├── .env
├── .gitignore
└── README.md
- Python 3.8+
- Pip or Poetry
Create a .env
file with:
EDENAI_API_KEY="your_api_key_here"
Happy coding! 🎉